https://pinboard.in/u:jm/public/ recent bookmarks from jm 2026-03-23T11:11:10+00:00 https://github.com/mautrix/whatsapp?tab=readme-ov-file jm matrix whatsapp messaging chat interop searching self-hosted https://pinboard.in/ https://pinboard.in/u:jm/b:014855f8a243/ 2023-07-31T16:27:10+00:00 https://crowdview.ai/ jm search forums searching https://pinboard.in/ https://pinboard.in/u:jm/b:ef9a25fcca15/ 2020-03-04T11:48:22+00:00 https://aws.amazon.com/about-aws/whats-new/2020/03/build-k-nearest-neighbor-similarity-search-engine-with-amazon-elasticsearch/ jmAmazon Elasticsearch Service now offers k-Nearest Neighbor (k-NN) search which can enhance search by similarity use cases like product recommendations, fraud detection, and image, video and semantic document retrieval. Built using the lightweight and efficient Non-Metric Space Library (NMSLIB), k-NN enables high scale, low latency nearest neighbor search on billions of documents across thousands of dimensions with the same ease as running any regular Elasticsearch query.   ]]> elasticsearch aws knn algorithms similarity searching search nmslib https://pinboard.in/ https://pinboard.in/u:jm/b:1ac9f1d202a0/ 2017-07-10T13:00:53+00:00 https://www.theguardian.com/technology/2017/jul/09/everybody-lies-how-google-reveals-darkest-secrets-seth-stephens-davidowitz?CMP=fb_gu jmWhat can we learn about ourselves from the things we ask online? US data scientist Seth Stephens‑Davidowitz analysed anonymous Google search results, uncovering disturbing truths about [America's] desires, beliefs and prejudices Fascinating. I find it equally interesting how flawed the existing methodologies for polling and surveying are, compared to Google's data, according to this]]> science big-data google lying surveys polling secrets data-science america racism searching https://pinboard.in/ https://pinboard.in/u:jm/b:368c1e21158e/ 2017-02-24T14:46:20+00:00 https://arstechnica.com/security/2016/05/google-dorking-when-pii-and-exploitable-bugs-are-only-a-search-away/ jm dorking google security searching web https://pinboard.in/ https://pinboard.in/u:jm/b:7fa259dd7da1/ 2016-01-04T10:44:17+00:00 https://medium.com/@nickgerleman/the-bkd-tree-da19cf9493fb#.2z8fzib60 jm search lucene bkd-trees searching data-structures https://pinboard.in/ https://pinboard.in/u:jm/b:d4a21d001bf0/ 2014-03-31T13:44:45+00:00 http://blog.phusion.nl/2010/12/06/efficient-substring-searching/ jmTurbo Boyer-Moore is disappointing, its name doesn’t do it justice. In academia constant overhead doesn’t matter, but here we see that it matters a lot in practice. Turbo Boyer-Moore’s inner loop is so complex that we think we’re better off using the original Boyer-Moore. A good demo of how large values of O(n) can be slower than small values of O(mn).]]> algorithms search strings coding big-o string-search searching https://pinboard.in/ https://pinboard.in/u:jm/b:cad2a9fdecec/ 2014-03-12T15:33:10+00:00 http://www.bea.aero/fr/enquetes/vol.af.447/metron.search.analysis.pdf jm metron bayes bayesian-inference machine-learning statistics via:jgc air-france disasters probability inference searching https://pinboard.in/ https://pinboard.in/u:jm/b:e7c127ca54da/ 2011-09-29T21:10:15+00:00 http://petermblair.com/fbl-n-gram-analyzer/ jm anti-spam spam fbl feedback filtering n-grams similarity hashing redis searching https://pinboard.in/ https://pinboard.in/u:jm/b:00bea3b79665/ 2011-09-10T13:34:07+00:00 http://www.irishtimes.com/newspaper/world/2011/0910/1224303851410.html jm grep dutch holland via:tjmcintyre privacy facebook twitter linkedin welfare dole fraud false-positives searching https://pinboard.in/ https://pinboard.in/u:jm/b:6616dc33ebe2/